Informatica MDM is one of the trending technologies in the market and many companies are looking forward to hire Informatica MDM experts who have MDM skills. In case if you are going to attend an interview on Informatica MDM soon, here is a guide that clears all your roadblocks and helps you to crack the interview and acquire your dream job as Informatica MDM developer. HRK training provides you top 30 frequently asked Informatica MDM Interview Questions 2020. This blog is packed with advanced, experienced, and entry-level questions based on the opinions of Informatica MDM specialists. Learning these frequently asked Informatica Question and Answers will increase your confidence and help you to clear the interview.
Ans: Master Data Management(MDM) is a methodology that allows the organization to link all its essential data into a single file, which is called a master file. This file seems to be a standard base reference to the organization that helps to make crucial business decisions. Master Data Management acts as a network to share the data among various firms.
Ans: Informatica Powercenter is a data integration software which is developed by Informatica Corporation. It is a widely used ETL tool (Extract, Transform, Load) to build organization data warehouses. The components of Informatica PowerCenter assists in extracting the data from multiple sources, transforming the data according to the business requirements and loading it into targeted data warehouses.
Ans: The following are the different components of PowerCenter:
Ans: The data warehouse is the primary method of managing and gathering information from various sources to assist the firms with helpful insights. Using a Data warehouse, you can analyze and integrate the data from various sources. A data warehouse is connected with different technologies and components that allow the firms to utilize the data in a well-organised process. It collects all the information in a digital form for further interpretation and moulds the data into an understandable way and makes it feasible for business users.
Ans: following are the various four fundamental phases of data warehousing. They are:
Now, let us know about each phase of the data warehouse with useful insights.
Offline Operational Databases: This is the initial stage of the data warehouse, evolved from copying the original operating system into an offline server. This process doesn’t impact the performance of the system.
Offline Data Warehouse: In this phase, data warehouses update the operational data regularly such as daily, weekly, and monthly and the data is stored in an homogenous report oriented way.
Real-time Data Warehouse: In this phase, the operating system executes an action or an event every time and updates the events in the data warehouse.
Integrated Data Warehouse: In this last phase, data warehouses generate transactions and activities that pass through the OS, which assists the organization in daily business functionality.
Ans: Every technical folk need to face challenges when they are selling a project and getting the funds. Management is actively looking for ROI, and they need MDM to be quantifiable advantages and profits for their business.
Ans: In dimensional modelling, there are two tables which are distinct from the third normal form. In this model, fact tables used for business measurements and the dimension table contain a context.
Ans: Dimension table is a compilation of logic, categories, and hierarchies, which can be used for a further traverse in hierarchy nodes by a user. And the dimension table contains textual measurements stored in fact tables.
Ans: There are two methods to load the data in dimension tables. Following are the two methods:
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Ans: In a data warehouse, a fact table consists of two columns which include metrics and measurements of business methods and foreign key. It is determined at the center of the star or snowflake schema surrounded by dimension tables.
Ans: Mapping represents the flow of data between the sources and targets. It is a set of target definitions and source linked by transformation objects that defines the data transformation rules.
Ans: Mapplet is a reusable element that consists set of changes that allow reusing that transformation logic in involved mappings.
Ans: It is a repository element that helps to generate and modifies the data. In mapping, transformation represents certain operations that perform on integrated services. All the data that passes through these transformation ports linked with mapping.
Ans: Data Mining is the process of analysing the vast amount of data to find valuable hidden insights and compiling it into useful data. It allows the users to discover unknown relationships and patterns between various elements in the data. The useful insights extracted from the data might help you in scientific discovery, marketing, fraud detection, and many more.
Ans: Following are the various objects that cannot use in the mapplets:
Ans: In fact table, foreign keys are the primary key of the dimensional table, and in the dimensional table, foreign keys are the primary key of the entity table.
Ans: Following are the different ways used in Informatica to switch one environment to another:
Ans: Following are the different ways to delete the duplicate records from Informatica:
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Ans: Using the following query, you can find invalid mappings in a folder:
SELECT MAPPING_NAME FROM REP_ALL_MAPPINGS WHERE
SUBJECT_AREA='YOUR_FOLDER_NAME' AND PARENT_MAPPING_IS_VALIED <>1
Ans: Here are the various types of repositories that you can create in Informatica.
Ans: Data movement modes provide a set of instructions to handle the process of character data. Based on that, you can determine the data movement from Informatica server configuration settings. Here are the two data movement modes:
Ans: Following are the two types of locks used in Informatica MDM 10.1:
Ans: Following are the list of various tools that are not required lock:
Ans: Following are the tools that are required Lock to make configuration amends to the database of MDM hub master in Informatica MDM:
Ans: For every 60 seconds the hub console is refreshed in the current situation. Lock can be released by the users manually. If a user switches to another database while the lock is on hold, the lock will be released automatically. The lock expires within a minute if the user terminates the hub console.
Ans: Following are the components of Informatica hub console:
Ans: Following are the multiple tables that can integrate with the staging data in MDM. They are:
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Ans: Following are the various stages in which data is stored into hub stores in a sequential process.